Robin Hesse
@robinhesse_
Followers
66
Following
67
Media
2
Statuses
27
PhD student in explainable AI for computer vision @visinf @TUDarmstadt. Prev. intern @AWS and @maxplanckpress.
Joined July 2022
Got a strong XAI paper rejected from ICCV? Submit it to our ICCV eXCV Workshop today—we welcome high-quality work!.🗓️ Submissions open until June 26 AoE. 📄 Got accepted to ICCV? Congrats! Consider our non-proceedings track. #ICCV2025 @ICCVConference
3
19
26
RT @visinf: Want to learn about how model design choices affect the attribution quality of vision models? Visit our #NeurIPS2024 poster on….
0
5
0
RT @sherwinbahmani: 📢 Excited to share our new work: AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers. https….
0
24
0
RT @sukrutrao: Our work on transforming existing neural networks to be inherently interpretable has been accepted at #NeurIPS2024! This is….
0
15
0
RT @Napoolar: 🎭Recent work shows that models’ inductive biases for 'simpler' features may lead to shortcut learning. What do 'simple' vs….
0
105
0
RT @YGandelsman: After mech int work on vision models and on language models, it’s time to see what’s going on inside VLMs!.Not only that t….
0
4
0
RT @JuliaGrabinski: This year's #ECCV2024 recap: Presented our work w @shashankska on Uspampling ⬆️, our work on infinitely large convoluti….
0
8
0
If you're interested in how different model design choices affect attribution quality, check out our (@schaub_simone and @stefanroth) paper "Benchmarking the Attribution Quality of Vision Models," which has been accepted at #NeurIPS2024 @NeurIPSConf D&B track!
2
4
21
RT @dangengdg: What do you see in these images?. These are called hybrid images, originally proposed by Aude Oliva et al. They change appea….
0
103
0
Thanks to all the speakers for the exciting talks and all the authors for their interesting posters! It was a pleasure to have such a great program.
Thank you for the excellent workshop and for giving us the opportunity to talk about our work! It's really valuable to discuss HCI papers at CV/ML conferences and vice versa. Cheers to cross-pollination of perspectives 🐝🌼. @eccvconf #ECCV2024 @XAI_Research
0
2
12
RT @YGandelsman: Excited to give a talk about interpretability via reverse engineering tmrw at @eccvconf!.
0
2
0
RT @sukrutrao: Less than three days to go for the eXCV Workshop at #ECCV2024! Join us on Sunday from 14:00-18:00 in Brown 1 to hear about t….
0
15
0
RT @visinf: 🏔️🇨🇭"Grüezi" from our summer retreat in the Swiss mountains. It’s been a fantastic week filled with research discussions, hikes….
0
5
0
RT @sukrutrao: Notifications of decisions have now been sent to authors of all submissions. Congratulations to all the authors whose papers….
0
6
0
RT @sukrutrao: Share your latest published work for explainability in computer vision at our workshop at #ECCV2024! Submit to our Non-Proce….
0
9
0
RT @sukrutrao: The 1st workshop on “Explainable Computer Vision: Where are We and Where are We Going?” at #ECCV2024 is accepting submission….
0
24
0
Topics include:. - Attribution maps. - Evaluating XAI methods. - Intrinsically explainable models. - Mechanistic interpretability. - XAI beyond classification. We also have a Non-Proceedings / Nectar Track to highlight already published works!. 2/2.
0
1
7